A Sound Source Localization Method for Microphone Array with Arbitrary Configuration

被引：0
|
作者：
He Q. [1 ,2 ]
Han K. [1 ,2 ]
Feng J. [1 ,2 ]
Fan J. [1 ,2 ]
机构：
[1] Aircraft Strength Research Institute of China, Xi'an
[2] Key Laboratory of Aviation Science and Technology on Full Scale Aircraft Structure Static and Fatigue Strength, Xi'an
来源：
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University | 2020年 / 54卷 / 04期
关键词：
Arbitrary configuration; Fatigue test; Microphone array; Sound source localization; Static test;
D O I：
10.7652/xjtuxb202004023
中图分类号：
学科分类号：
摘要：
It is significant to locate abnormal sound rapidly and accurately in aircraft structure static/fatigue test for structural damage detection. A sound source localization method for microphone array with arbitrary configuration is presented considering complicated environment of aircraft structure static/fatigue test. The method obtains a sound source signal with known coordinates by microphones with arbitrary configuration, and the calibration equations of microphone coordinates are established and solved by an optimization method to determine microphone positions with arbitrary configuration. A generalized cross-correlation method combined with the signal endpoint detection method on the basis of the time delay of arrival (TDOA) algorithm is employed to reduce TDOA error from different microphones, and a sound source localization technological process is built. The method is validated by locating three sound sources in laboratory environment. Results show that sound source localization is realized by the method even when microphones are arrayed arbitrarily. The calibration accuracy of microphone position coordinates is at millimeter-level, and the accuracy of sound source localization is at centimeter-level. The results meet the accuracy level requirement of sound source localization in complex environment of aircraft structure static/fatigue test. Compared with the existing sound source localization method, the proposed method can realize arbitrary configuration of microphones according to the environment, and is more suitable to sound source localization in complicated environment of aircraft structure static/fatigue test. © 2020, Editorial Office of Journal of Xi'an Jiaotong University. All right reserved.
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页码：186 / 192
页数：6
相关论文
共 18 条
  • [1] Valin J.M., Michaud F., Rouat J., Et al., Robust sound source localization using a microphone array on a mobile robot, 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1228-1233, (2003)
  • [2] Ma W., Liu X., Improving the efficiency of DAMAS for sound source localization via wavelet compression computational grid, Journal of Sound and Vibration, 395, pp. 341-353, (2017)
  • [3] Leclere Q., Pereira A., Finez A., Et al., Indirect calibration of a large microphone array for in-duct acoustic measurements, Journal of Sound and Vibration, 376, pp. 48-59, (2016)
  • [4] Taratorin A.A., Tupov V.B., Detection technique of acoustical center of noise source, Thermal Engineering, 62, 7, pp. 480-483, (2015)
  • [5] Liang G., Han B., Sun X., Three-dimensional passive localization of near-field source in a multipath environment, Acta Armamentarii, 35, 3, pp. 326-332, (2014)
  • [6] He Q., Feng J., Sun Z., Study on influencing factor for sound localization precision of microphone array, Engineering and Test, 56, 3, pp. 30-32, (2016)
  • [7] Fan R., Su Z., Meng G., Et al., Application of sound intensity and partial coherence to identify interior noise sources on the high speed train, Mechanical Systems and Signal Processing, 46, 2, pp. 481-493, (2014)
  • [8] Kuang Y., Burgess S.B., Torstensson A., Et al., A complete characterization and solution to the microphone position self-calibration problem, IEEE International Conference on Acoustics Speech and Signal Processing, pp. 3875-3879, (2013)
  • [9] Schwartz O., Plinge A., Habets E.A.P., Et al., Blind microphone geometry calibration using one reverberant speech event, IEEE Workshop on Applications of Signal Processing to Audio and Acoustic, pp. 131-135, (2017)
  • [10] He Q., Sun Z., Feng J., Microphone position calibration precision analysis of random array, Engineering and Test, 58, 3, pp. 61-64, (2018)
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